Position: Senior AI Product Engineer
Location: UK (London)
We’re a venture-funded startup on a mission to transform compliance for regulated brands, turning what’s often seen as a frustrating, manual process into something powerful and creative.
In industries like financial services, marketing is highly regulated, making it difficult for brands to reach customers while staying compliant. That’s where we come in. Leveraging Generative AI and Agentic workflows, we eliminate the blockers that slow down marketing workflows, empowering brands to be more creative, faster, and fully compliant. We’re not just upgrading workflows; we’re reinventing how work gets done, and rewriting the future of compliance as a powerful tool for creativity, not a constraint.
With exciting brands working with us, we’re growing fast. Now, we’re looking for top talent to help us push the boundaries of Generative AI and revolutionise how brands approach compliance. That’s where you come in.
Design agentic products for compliance: Build products that leverage foundation models to automate regulatory checks and compliance workflows.
Pioneer multi-modal compliance analysis: leverage LLMs to analyse multi-modal assets with the nuance of real-world compliance, tackling subjective and context-dependent cases by thinking beyond black-and-white rule application.
Optimise for production scale: Build systems that seamlessly support rapid client onboarding and expand our throughput by orders of magnitude, while maintaining reliability, accuracy, and performance.
Build validation & evaluation infrastructure: Develop rigorous testing, monitoring, and guardrail systems to ensure AI outputs are accurate, consistent and explainable.
Steer the future of regulatory AI: Work closely with the CTO and product team to align AI innovations with new industry regulations and strategic goals.
An AI-native engineer: You actively use AI in your workflow, whether for prototyping, debugging, or exploring new architectures, and see it as a force multiplier.
Demonstrable ability to build and ship AI-enabled products: external facing applications, used by real-world users
A production ML expert: You’ve deployed AI systems at scale, bringing strong backend skills (Python is a must) and experience building APIs such as with FastAPI.
An LLM practitioner: You’ve built real-world systems with LLMs, using agent frameworks like LangGraph or LangChain, RAG pipelines, and robust evals.
A pragmatic builder: You thrive in ambiguity, balancing research with production constraints, and know when simple beats complex.
A team shaper: You’re eager to influence culture, mentor future hires, and help scale our engineering team from the ground up.